Literature DB >> 26562621

Next-generation diagnostics and disease-gene discovery with the Exomiser.

Damian Smedley1, Julius O B Jacobsen1, Marten Jäger2,3, Sebastian Köhler2, Manuel Holtgrewe2,4, Max Schubach2, Enrico Siragusa2,4,5, Tomasz Zemojtel2,6,7, Orion J Buske8,9, Nicole L Washington10, William P Bone11, Melissa A Haendel12, Peter N Robinson2,3,5,13.   

Abstract

Exomiser is an application that prioritizes genes and variants in next-generation sequencing (NGS) projects for novel disease-gene discovery or differential diagnostics of Mendelian disease. Exomiser comprises a suite of algorithms for prioritizing exome sequences using random-walk analysis of protein interaction networks, clinical relevance and cross-species phenotype comparisons, as well as a wide range of other computational filters for variant frequency, predicted pathogenicity and pedigree analysis. In this protocol, we provide a detailed explanation of how to install Exomiser and use it to prioritize exome sequences in a number of scenarios. Exomiser requires ∼3 GB of RAM and roughly 15-90 s of computing time on a standard desktop computer to analyze a variant call format (VCF) file. Exomiser is freely available for academic use from http://www.sanger.ac.uk/science/tools/exomiser.

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Year:  2015        PMID: 26562621      PMCID: PMC5467691          DOI: 10.1038/nprot.2015.124

Source DB:  PubMed          Journal:  Nat Protoc        ISSN: 1750-2799            Impact factor:   13.491


  77 in total

Review 1.  Three-stage quality control strategies for DNA re-sequencing data.

Authors:  Yan Guo; Fei Ye; Quanghu Sheng; Travis Clark; David C Samuels
Journal:  Brief Bioinform       Date:  2013-09-24       Impact factor: 11.622

2.  Walking the interactome for prioritization of candidate disease genes.

Authors:  Sebastian Köhler; Sebastian Bauer; Denise Horn; Peter N Robinson
Journal:  Am J Hum Genet       Date:  2008-03-27       Impact factor: 11.025

3.  ANNOVAR: functional annotation of genetic variants from high-throughput sequencing data.

Authors:  Kai Wang; Mingyao Li; Hakon Hakonarson
Journal:  Nucleic Acids Res       Date:  2010-07-03       Impact factor: 16.971

4.  Prioritizing disease-linked variants, genes, and pathways with an interactive whole-genome analysis pipeline.

Authors:  In-Hee Lee; Kyungjoon Lee; Michael Hsing; Yongjoon Choe; Jin-Ho Park; Shu Hee Kim; Justin M Bohn; Matthew B Neu; Kyu-Baek Hwang; Robert C Green; Isaac S Kohane; Sek Won Kong
Journal:  Hum Mutat       Date:  2014-03-06       Impact factor: 4.878

5.  PhenoTips: patient phenotyping software for clinical and research use.

Authors:  Marta Girdea; Sergiu Dumitriu; Marc Fiume; Sarah Bowdin; Kym M Boycott; Sébastien Chénier; David Chitayat; Hanna Faghfoury; M Stephen Meyn; Peter N Ray; Joyce So; Dimitri J Stavropoulos; Michael Brudno
Journal:  Hum Mutat       Date:  2013-05-24       Impact factor: 4.878

6.  DeNovoGear: de novo indel and point mutation discovery and phasing.

Authors:  Avinash Ramu; Michiel J Noordam; Rachel S Schwartz; Arthur Wuster; Matthew E Hurles; Reed A Cartwright; Donald F Conrad
Journal:  Nat Methods       Date:  2013-08-25       Impact factor: 28.547

7.  Crowdsourcing the corpasome.

Authors:  Manuel Corpas
Journal:  Source Code Biol Med       Date:  2013-06-21

8.  STRING v9.1: protein-protein interaction networks, with increased coverage and integration.

Authors:  Andrea Franceschini; Damian Szklarczyk; Sune Frankild; Michael Kuhn; Milan Simonovic; Alexander Roth; Jianyi Lin; Pablo Minguez; Peer Bork; Christian von Mering; Lars J Jensen
Journal:  Nucleic Acids Res       Date:  2012-11-29       Impact factor: 16.971

9.  A web-based interactive framework to assist in the prioritization of disease candidate genes in whole-exome sequencing studies.

Authors:  Alejandro Alemán; Francisco Garcia-Garcia; Francisco Salavert; Ignacio Medina; Joaquín Dopazo
Journal:  Nucleic Acids Res       Date:  2014-05-06       Impact factor: 16.971

10.  Walking the interactome for candidate prioritization in exome sequencing studies of Mendelian diseases.

Authors:  Damian Smedley; Sebastian Köhler; Johanna Christina Czeschik; Joanna Amberger; Carol Bocchini; Ada Hamosh; Julian Veldboer; Tomasz Zemojtel; Peter N Robinson
Journal:  Bioinformatics       Date:  2014-07-30       Impact factor: 6.937

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  108 in total

1.  PhenomeCentral: a portal for phenotypic and genotypic matchmaking of patients with rare genetic diseases.

Authors:  Orion J Buske; Marta Girdea; Sergiu Dumitriu; Bailey Gallinger; Taila Hartley; Heather Trang; Andriy Misyura; Tal Friedman; Chandree Beaulieu; William P Bone; Amanda E Links; Nicole L Washington; Melissa A Haendel; Peter N Robinson; Cornelius F Boerkoel; David Adams; William A Gahl; Kym M Boycott; Michael Brudno
Journal:  Hum Mutat       Date:  2015-08-31       Impact factor: 4.878

2.  Evaluation of Face2Gene using facial images of patients with congenital dysmorphic syndromes recruited in Japan.

Authors:  Hiroyuki Mishima; Hisato Suzuki; Michiko Doi; Mutsuko Miyazaki; Satoshi Watanabe; Tadashi Matsumoto; Kanako Morifuji; Hiroyuki Moriuchi; Koh-Ichiro Yoshiura; Tatsuro Kondoh; Kenjiro Kosaki
Journal:  J Hum Genet       Date:  2019-05-29       Impact factor: 3.172

Review 3.  Settling the score: variant prioritization and Mendelian disease.

Authors:  Karen Eilbeck; Aaron Quinlan; Mark Yandell
Journal:  Nat Rev Genet       Date:  2017-08-14       Impact factor: 53.242

Review 4.  Model organism data evolving in support of translational medicine.

Authors:  Douglas G Howe; Judith A Blake; Yvonne M Bradford; Carol J Bult; Brian R Calvi; Stacia R Engel; James A Kadin; Thomas C Kaufman; Ranjana Kishore; Stanley J F Laulederkind; Suzanna E Lewis; Sierra A T Moxon; Joel E Richardson; Cynthia Smith
Journal:  Lab Anim (NY)       Date:  2018-09-17       Impact factor: 12.625

5.  Hemolytic anemia with null PKLR mutations identified using whole exome sequencing and cured by hematopoietic stem cell transplantation combined with splenectomy.

Authors:  M Kim; J Park; J Lee; W Jang; H Chae; H Choi; J Kim; A Kwon; J-W Lee; B Cho; Y Kim; N-G Chung
Journal:  Bone Marrow Transplant       Date:  2016-09-05       Impact factor: 5.483

6.  Encoding Clinical Data with the Human Phenotype Ontology for Computational Differential Diagnostics.

Authors:  Sebastian Köhler; N Christine Øien; Orion J Buske; Tudor Groza; Julius O B Jacobsen; Craig McNamara; Nicole Vasilevsky; Leigh C Carmody; J P Gourdine; Michael Gargano; Julie A McMurry; Daniel Danis; Christopher J Mungall; Damian Smedley; Melissa Haendel; Peter N Robinson
Journal:  Curr Protoc Hum Genet       Date:  2019-09

7.  Hi-C Identifies Complex Genomic Rearrangements and TAD-Shuffling in Developmental Diseases.

Authors:  Uirá Souto Melo; Robert Schöpflin; Rocio Acuna-Hidalgo; Martin Atta Mensah; Björn Fischer-Zirnsak; Manuel Holtgrewe; Marius-Konstantin Klever; Seval Türkmen; Verena Heinrich; Ilina Datkhaeva Pluym; Eunice Matoso; Sérgio Bernardo de Sousa; Pedro Louro; Wiebke Hülsemann; Monika Cohen; Andreas Dufke; Anna Latos-Bieleńska; Martin Vingron; Vera Kalscheuer; Fabiola Quintero-Rivera; Malte Spielmann; Stefan Mundlos
Journal:  Am J Hum Genet       Date:  2020-05-28       Impact factor: 11.025

8.  VIPdb, a genetic Variant Impact Predictor Database.

Authors:  Zhiqiang Hu; Changhua Yu; Mabel Furutsuki; Gaia Andreoletti; Melissa Ly; Roger Hoskins; Aashish N Adhikari; Steven E Brenner
Journal:  Hum Mutat       Date:  2019-08-17       Impact factor: 4.878

9.  CAGI4 SickKids clinical genomes challenge: A pipeline for identifying pathogenic variants.

Authors:  Lipika R Pal; Kunal Kundu; Yizhou Yin; John Moult
Journal:  Hum Mutat       Date:  2017-06-27       Impact factor: 4.878

10.  A Whole-Genome Analysis Framework for Effective Identification of Pathogenic Regulatory Variants in Mendelian Disease.

Authors:  Damian Smedley; Max Schubach; Julius O B Jacobsen; Sebastian Köhler; Tomasz Zemojtel; Malte Spielmann; Marten Jäger; Harry Hochheiser; Nicole L Washington; Julie A McMurry; Melissa A Haendel; Christopher J Mungall; Suzanna E Lewis; Tudor Groza; Giorgio Valentini; Peter N Robinson
Journal:  Am J Hum Genet       Date:  2016-08-25       Impact factor: 11.025

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